RESPONSIBILITIES:

- Design and build scalable organizational data infrastructure and Medallion architecture within a Lakehouse environment
- Develop robust, fault-tolerant ETL/ELT applications for seamless data ingestion, transformation, and distribution to enable analytics, reporting, and AI workloads
- Work with different stakeholders and teams to assist with data related technical solutions and support their data infrastructure needs
- Explore and experiment with new use cases, frameworks, and tools to enhance AI capabilities, ensuring data integrity, quality, and reliability
- Identify and implement infrastructure re-designs to improve scalability, optimize data delivery, and automate manual workflows
- Choose the best tools/services/resources to build robust data pipelines
- Collaborate with cross-functional teams to understand data requirements, create robust data models, and deliver actionable insights
- Monitor, troubleshoot, and optimize jobs for performance, addressing data pipeline bottlenecks and ensuring cost efficiency
- Broader work or accountabilities may be assigned as needed
- Continuously improve engineering processes, balancing speed, quality, and business impact

REQUIREMENTS:
- Bachelors or masters degree in computer science, engineering, or a related field
- 3+ years of proven experience in data engineering, delivering business-critical software solutions for large enterprises with a consistent track record of success




- Experience writing ETL/ELT jobs
- Experience with Azure and Databricks Platform
- Experience with Python, and SQL
- Excellent communication skills
- Ability to work with an international team

DESIRED SKILLS:
- Cloud architecture principles: compute, storage, networks, security, cost
- Ability to develop REST APIs, Python SDKs or Libraries, Spark Jobs
- Proficiency in using open-source tools, frameworks like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes
- Knowledge of CI/CD, Git, or infrastructure-as-code concepts
- Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously in an Agile environment
- Understanding of how data engineering feeds into Business Intelligence and reporting tools (Power BI/Tableau)
- Strong problem-solving and analytical skills
- Strategic thinker and strong execution orientation
- Ability to work in cross-functional teams
- Attention to detail and data quality

WHY THIS ROLE
- Work on real systems in production, not toy problems
- Learn how enterprise-scale data platforms are designed, operated, and evolved
- Direct mentorship from senior engineers and data leaders
- Meaningful impact on firm-wide analytics and automation initiatives
- A high-bar engineering workplace focused on quality, scale, and long-term thinking

Location - Hyderabad,Mumbai,Bengaluru,New Delhi,Mumbai Suburban

📌 Data Engineer I (Mumbai)
🏢 Kroll
📍 Mumbai